Should I stay or should I go? Adaption of human observers to the volatility of visual inputs

Laurent Perrinet

CausaL Kick-off, 5/4/2019

This work was supported by ANR project ANR-18-AAPG–“CAUSAL, Cognitive Architectures of Causal Learning”.


https://laurentperrinet.github.io/talk/2019-04-05-bbcp-causal-kickoff

Should I stay or should I go? Adaption of human observers to the volatility of visual inputs

Laurent Perrinet

CausaL Kick-off, 5/4/2019

This work was supported by ANR project ANR-18-AAPG–“CAUSAL, Cognitive Architectures of Causal Learning”.

Should I stay or should I go?
(see this viperlib page)

(see this viperlib page)

Outline

  1. Should I stay or should I go?

  2. The Bayesian Changepoint Detector

  3. Results using the BCP

  4. Application to RL?

Outline

  1. Should I stay or should I go?

  2. The Bayesian Changepoint Detector

  3. Results using the BCP

  4. Application to RL?

Outline

  1. Should I stay or should I go?

  2. The Bayesian Changepoint Detector

  3. Results using the BCP

  4. Application to RL?

Should I stay or should I go? Adaption of human observers to the volatility of visual inputs

Laurent Perrinet

CausaL Kick-off, 5/4/2019

This work was supported by ANR project ANR-18-AAPG–“CAUSAL, Cognitive Architectures of Causal Learning”.


https://laurentperrinet.github.io/talk/2019-04-05-bbcp-causal-kickoff